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Model: OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5
Source: Original Platform

.gitattributes

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LICENSE

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README.md

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+---
+license: apache-2.0
+language:
+  - en
+tags:
+  - sft
+pipeline_tag: text-generation
+widget:
+  - text: <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
+  - text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|>
+  - text: <|prompter|>Write a story about future of AI development<|endoftext|><|assistant|>
+---
+
+# Open-Assistant SFT-4 12B Model
+
+
+This is the 4th iteration English supervised-fine-tuning (SFT) model of 
+the [Open-Assistant](https://github.com/LAION-AI/Open-Assistant) project. 
+It is based on a Pythia 12B that was fine-tuned on human demonstrations 
+of assistant conversations collected through the 
+[https://open-assistant.io/](https://open-assistant.io/) human feedback web 
+app before March 25, 2023. 
+
+## Model Details
+
+- **Developed by:** [Open-Assistant Contributors](https://open-assistant.io/)
+- **Model type:** Transformer-based Language Model
+- **Language:** English
+- **Finetuned from:** [EleutherAI / pythia-12b-deduped](https://huggingface.co/EleutherAI/pythia-12b-deduped)
+- **Code:** [Open-Assistant/model/model_training](https://github.com/LAION-AI/Open-Assistant/tree/main/model/model_training)
+- **Demo:** [Continuations for 250 random prompts](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-04-03_andreaskoepf_oasst-sft-4-pythia-12b-epoch-3_5_sampling_noprefix_lottery.json%0Ahttps%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Fchat-gpt%2F2023-04-11_gpt-3.5-turbo_lottery.json)
+- **License:** Apache 2.0
+- **Contact:** [Open-Assistant Discord](https://ykilcher.com/open-assistant-discord)
+
+## Prompting
+
+Two special tokens are used to mark the beginning of user and assistant turns:
+`<|prompter|>` and `<|assistant|>`. Each turn ends with a `<|endoftext|>` token.
+
+Input prompt example:
+```
+<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
+```
+The input ends with the `<|assistant|>` token to signal that the model should 
+start generating the assistant reply.
+
+
+## Dev Details
+
+- wandb: https://wandb.ai/open-assistant/supervised-finetuning/runs/770a0t41
+- base model: [andreaskoepf/pythia-12b-pre-2000](https://huggingface.co/andreaskoepf/pythia-12b-pre-2000)
+- checkpoint: 4000 steps
+
+command: `deepspeed trainer_sft.py --configs defaults reference-data reference-pythia-12b --cache_dir /home/ubuntu/data_cache --output_dir .saved/oasst-sft-3-pythia-12b-reference_2kpre --num_train_epochs 8 --residual_dropout 0.2 --deepspeed --use_flash_attention true --model_name andreaskoepf/pythia-12b-pre-2000`
+
+data:
+```
+reference-data:
+  datasets:
+    - oasst_export:
+      lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk"
+      input_file_path: 2023-03-25_oasst_research_ready_synth_labels.jsonl.gz
+      val_split: 0.05
+    - alpaca
+  sort_by_length: false
+  use_custom_sampler: false
+```
+
+
+pythia:
+```
+reference-pythia-12b:
+  dtype: fp16
+  log_dir: "pythia_log_12b"
+  learning_rate: 6e-6
+  model_name: EleutherAI/pythia-12b-deduped
+  output_dir: pythia_model_12b
+  weight_decay: 0.0
+  max_length: 2048
+  warmup_steps: 100
+  gradient_checkpointing: true
+  gradient_accumulation_steps: 2
+  per_device_train_batch_size: 4
+  per_device_eval_batch_size: 4
+  eval_steps: 100
+  save_steps: 1000
+  num_train_epochs: 8
+  save_total_limit: 4
+```
+
+zero config:
+```
+{
+  "fp16": {
+    "enabled": "auto",
+    "loss_scale": 0,
+    "loss_scale_window": 1000,
+    "initial_scale_power": 16,
+    "hysteresis": 2,
+    "min_loss_scale": 1
+  },
+  "bf16": {
+    "enabled": "auto"
+  },
+  "optimizer": {
+    "type": "AdamW",
+    "params": {
+      "lr": "auto",
+      "betas": "auto",
+      "eps": "auto",
+      "weight_decay": "auto"
+    }
+  },
+  "scheduler": {
+    "type": "WarmupDecayLR",
+    "params": {
+      "warmup_min_lr": "auto",
+      "warmup_max_lr": "auto",
+      "warmup_num_steps": "auto",
+      "total_num_steps": "auto"
+    }
+  },
+  "zero_optimization": {
+    "stage": 2,
+    "allgather_partitions": true,
+    "allgather_bucket_size": 1e9,
+    "overlap_comm": false,
+    "reduce_scatter": true,
+    "reduce_bucket_size": 1e9,
+    "contiguous_gradients": true
+  },
+  "gradient_accumulation_steps": "auto",
+  "gradient_clipping": "auto",
+  "steps_per_print": 2000,
+  "train_batch_size": "auto",
+  "train_micro_batch_size_per_gpu": "auto",
+  "wall_clock_breakdown": false
+}
+```

config.json

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+{
+  "_name_or_path": ".saved/oasst-sft-3-pythia-12b-reference_2kpre/checkpoint-4000/",
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "hidden_act": "gelu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 20480,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 36,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.28.0.dev0",
+  "use_cache": true,
+  "use_parallel_residual": true,
+  "vocab_size": 50288
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.28.0.dev0"
+}

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+}

special_tokens_map.json

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+{
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+    "<|system|>",
+    "<|assistant|>",
+    "<|prefix_begin|>",
+    "<|prefix_end|>",
+    "<|prompter|>"
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+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|padding|>",
+  "sep_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
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+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
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+  "special_tokens_map_file": "/fsx/home-hailey/.cache/huggingface/hub/models--EleutherAI--gpt-neox-20b/snapshots/3523781c8df75f7741687a4284f6f70e1afa12f4/special_tokens_map.json",
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+  "unk_token": "<|endoftext|>"
+}